摘要
汉英机器翻译中 ,汉语篇章的时间信息是生成正确英语动词时态的基础 .时制是时间信息的重要组成部分 ,需要在篇章中通过时间短语的语义分析获得 .首先对汉语篇章时间短语进行了语义分类 ,然后设计了时间短语语义表示结构 TPSRS,用概念信息体关联网络 CIURN表示了汉语篇章语境知识 ,给出了在篇章语境中分析时间短语的算法 TPPA,提出通过时制验算来推导汉语篇章中时间短语的时制和事件的时制 ,最后在汉英机译系统ICENT中进行了实现 。
In Chinese-English machine translation, temporal information parsing of Chinese text is very important, because it is the basis to generate the correct tenses of English verbs. Note that this tense is a syntactic category of English, and there is another tense in this paper. The second tense is one of the most important elements of temporal information. It is a temporal relation between the event time and the speech time or another reference time, and can be obtained by time phrase parsing of Chinese text. In this paper, time phrases of Chinese text are classified firstly, then a time phrase semantic representation structure (TPSRS) is designed to represent semantic of time phrases, and concept information unit relation network (CIURN) is used to represent context knowledge. Therefore an algorithm TPPA is proposed to parse time phrases. With semantic of time phrases, tense calculus is defined to infer tenses of verbs of Chinese texts. Finally, this approach is implemented in the Chinese-English machine translation system ICENT, and the results of the experiment are satisfying for those Chinese texts that have the written time.
出处
《计算机研究与发展》
EI
CSCD
北大核心
2002年第10期1211-1220,共10页
Journal of Computer Research and Development
基金
国家"八六三"高技术研究发展计划基金资助 ( 2 0 0 1 AA1 1 41 1 0 )